Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads.
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| Title: | Power Cost Reduction in Distributed Data Centers: A Two-Time-Scale Approach for Delay Tolerant Workloads. |
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| Authors: | Yao, Yuan1, Huang, Longbo2, Sharma, Abhishek B.3, Golubchik, Leana1, Neely, Michael J.1 |
| Source: | IEEE Transactions on Parallel & Distributed Systems. Jan2014, Vol. 25 Issue 1, p200-211. 12p. |
| Subjects: | Stochastic analysis, Client/server computing management, Data libraries, Data centers, Electricity pricing, Delay lines, Equipment & supplies |
| Abstract: | This paper considers a stochastic optimization approach for job scheduling and server management in large-scale, geographically distributed data centers. Randomly arriving jobs are routed to a choice of servers. The number of active servers depends on server activation decisions that are updated at a slow time scale, and the service rates of the servers are controlled by power scaling decisions that are made at a faster time scale. We develop a two-time-scale decision strategy that offers provable power cost and delay guarantees. The performance and robustness of the approach is illustrated through simulations. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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